DEVELOPMENT... OpenML
Run
176508

Run 176508

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 21-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7721
Per class
F measure
0.8318
Per class
Kappa
0.2751
KB relative information score
49.7164
Mean absolute error
0.1742
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8245
Per class
Predictive accuracy
0.8426
Prior entropy
0.5956
Recall
0.8426
Per class
Relative absolute error
0.7077
Root mean prior squared error
0.3502
Root mean squared error
0.3468
Root relative squared error
0.9904
SciMark benchmark
1465.2979
UserCPU time millis
10
UserCPU time millis training
10